HVMA: Mitigating the Effects of Patient No-shows

Size: px
Start display at page:

Download "HVMA: Mitigating the Effects of Patient No-shows"

Transcription

1 HVMA: Mitigating the Effects of Patient No-shows Project Team Kelli Crosby, Bryan Gillan, Artem Golyshkin, John Griffith, Amanda Price Project Advisor Prof. James Benneyan Abstract The objective of this project is to alleviate the negative impact of patient no-shows as measured by provider idle time and revenue loss at the department of Obstetrics and Gynecology (OB/GYN) in the Harvard Vanguard Medical Associates (HVMA) Quincy medical center. A logistic regression and digital simulation are employed to systematically optimize the scheduling system. The solution is an integration of appointment sequencing and strategic double-booking based on appointment type. This method is proven to effectively maximize revenue and provider utilization while minimizing patient wait time and doctor overtime.

2 Need for Project This project is necessary in order to reduce wasted time and money caused by patient no-shows at the Quincy HVMA facility. The need for the project is established by patient no-shows that occur on a regular basis (18.2% of appointments). A no-show appointment is defined as one in which a patient fails to show up for a scheduled appointment or cancels their appointment within 24 hours. No-shows result in undesired idle time which affects both the providers and patients. Idle time equates to missed opportunities to generate revenue for HVMA and patients lose the opportunity of being seen during this unoccupied appointment slot. Based on data from 2009, no-shows resulted in a loss of approximately $446,000 in revenue. Below is the calculation used to approximate revenue loss: Design Project Objectives and Requirements 2,230(No Shows in 2009) * $200 (approximate revenue loss per appointment) Revenue Loss= $446,000 Develop scheduling and overbooking Design Objectives approaches that will mitigate the negative The project objective is to develop strategic overbooking practices effects of no-shows by improving aimed to mitigate the negative effects of no shows. Considered provider utilization. overbooking solutions were tested with simulation models to determine the compliance with constraints listed in Table 1 of Design Requirements. Design Requirements Table 1 shows the customer s desired design requirements/metrics of measurement for improving the effects of no-shows. Provider overtime and patient wait time should not exceed 30 minutes, while the primary factor of concern is increasing the overall utilization rate of the provider to greater than 90%.

3 Design Concepts considered Three primary design concepts were considered; Wave scheduling, strategic double booking, and strategic compression. Table 2: Considered Strategies Research was performed to study all current clinical overbooking practices. Based on practicality of implementation and their potential to achieve desired results, methods were narrowed down to the three most effective ones wave scheduling, compression, and doublebooking. Sequencing appointments within a day based on show rates was also experimented with and combined with the above methods. The primary overbooking approaches considered were: 1. Wave Scheduling - Wave scheduling offers scheduling of several patients for a fixed time slot and serving those patients in the order in which they arrive. This method allows for a ready supply of patients on hand and reduces provider underutilization caused by no-shows and late arrivals. 2. Strategic Double Booking - Employs scheduling two patients in one appointment slot. Obstetrics appointments are significantly more likely to show up and insurance companies pay a flat rate for the entire pregnancy, making a less significant impact on the revenue stream. Therefore, it was important to focus specifically on two gynecology appointments with the highest no-show rate (PHR and RGL), which will be referred to as problem appointments. 3. Compression One method of compression used consisted of compressing the kept appointments T to S, so that T = D(1-p), where D is the appointment length in minutes and p is the no-show probability. For example, if an appointment is scheduled for 20 minutes with a 25% no-show rate, then appointments would be scheduled every T=20(0.75) = 15 minutes. This method allows for more appointments to be fit into a session. 4. Sequencing Involves various sequencing strategies such as scheduling appointment types by highest to lowest show rate, blocking problem appointments together, and arranging them high, low, high, low, etc. based on show rate.

4 Recommended Design Concept Constructed a series of scheduling guidelines based on appointment type and sequencing. Figure 1: Sequencing by Appointment Type Design Description The recommended design integrates strategic overbooking & sequencing with the following rules for scheduling: 1) Sequence Appointment types from lowest no-show rate to highest (see Figure 1.) 2) Double-book RGL and PHR appointment types 3) Double-book up to 2 of these appointment types per session and 4) Begin by double-booking last block in the session, followed by double-booking a block in the middle of the session. Analytical Investigations Logistic Regression - From the logistic regression it was determined that the solution should focus on the two problem appointments which have the largest impact on the overall no-show rate of 18.2%. These were return gynecology patient (RGL) and gynecology annual physical (PHR), which have a 25.3% and 27.9% no-show rate respectively. Figure 2: Simulation Logic Simulation - A digital simulation of one four hour session of one doctor s schedule was created to evaluate each overbooking method. A number of variations and combinations were simulated (21 in total), e.g. double-booking in different sequences, to determine the overall best solution. By experimenting with double-booking 1, 2, 3, or 4 problem appointments, it was concluded that double-booking 2 appointments per session was optimal. Through experimentation with sequencing of problem appointments, it was determined that it is best to sequence appointment types throughout the session from lowest no-show rate and combine this with double-booking. It was also determined that it s best to schedule one double-booked appointment at the end of the session and a second one in the middle because it had the least impact on patient wait times if both patients show up. Implementation includes a scheduling algorithm specified above in the Design Description. The t-test method was used to determine the numbers of days it will take HVMA to validate this solution (see figure 3). Equation 1 was used to solve for N.

5 Figure 3: T-Test Results Based on Equation 1, it was determined that the solution must be tested for approximately 26 days. Equation 1: n2 = s2 X s1 t n1 2 Where p=0.05 (95% Confidence Interval) and degrees of freedom is equal to 2. The customer will also be provided with instructions for measurement of key metrics and control charts to verify process performance. Experimental Investigations Utility Rate - The 12 overbooking strategies (that met customerspecified design requirements) were compared against each other by calculating a 'utility value'. By combining all three rationalized measurements in Table 1 using weighted factors, a single 'utility value' is assigned for a more linear comparison. Based on order of importance, utilization rate was attributed to be 70%, patient wait time was assigned 25% and provider overtime was weighted as 5%. Based on the utility value, it was determined that double-booking two problem appointments and sequencing them in the middle and at the end of the session yielded the maximum utility rate. Testing The group spent a day at the Quincy facility to verify the accuracy of the simulation. It was found that the actual utilization rate was.75 as compared to the predicted.83, the actual patient wait time was 13 minutes as compared to 10, and the actual overtime was 0 just as predicted. Therefore, we concluded that our simulation was, in fact, valid. Key Advantages of Recommended Concept The advantages of the strategic double booking and sequencing design include ease of implementation, maximizing provider utilization while minimizing patient wait time and provider overtime, and the solution comes at no cost to HVMA. With the projected 10% increase in provider utilization from 83% to 93%, the approximated revenue loss is reduced from $446,000 to $184,000 annually.

6 Financial Issues Implementation costs are directly Implementation costs are directly related to the amount of provider related to the amount of provider overtime generated due to overbooking. It was determined that the overtime generated due to cost of overtime for all desk personnel is $50 per hour. Other costs overbooking. such as provider overtime, implementation and training costs are less tangible. Providers do not get paid directly for overtime since they are on a fixed salary. Implementation and training costs are negligible, since implementation does not require any substantial effort. Costs of losing patients due to excessive wait time are also negligible, since the solutions considered minimize the wait time. Recommended Improvements The final deliverable includes Currently, appointments are scheduled three to thirteen months implementation instructions for out so implementation will not be possible until August optimizing scheduling along with Incorporating patient attendance history is recommended so that non-engineering suggestions to patients with poor attendance record are overbooked initially. Patients improve patient no-show rates. with poor attendance should also be contacted twice before the appointment to increase their likelihood of showing up. The proposed solution will remain valid as long as the average no-show rate is 18 ± 2% and ratio of overbooking to under booking costs stay between 1.25 and If future data shows a substantial change in the show rates or costs change, the overbooking practice can be adjusted based on the overbooking table shown in Table 3. Table 3: Sample section of final solution table showing how many patients should be overbooked per session based on the average noshow rate and the cost ratio. Co is the cost of overbooking one patient and Cu is the cost of under booking a single patient.

HVMA OB/GYN Lab Result Processing

HVMA OB/GYN Lab Result Processing HVMA OB/GYN Lab Result Processing Design Team Nick Davis, Andrew Durfee, Brendan Reichert, Aislinn Weldon Design Advisor Professor James Benneyan Abstract Harvard Vanguard Medical Associates (HVMA) is

More information

The Service Optimization Challenge Business Paper

The Service Optimization Challenge Business Paper The Service Optimization Challenge Business Paper Table of Contents Introduction............................................2 The Service Optimization Challenge.......................... 3 Avoiding Losses

More information

Hospital Facility Layout

Hospital Facility Layout Hospital Facility Layout Design Team Jamie Janvrin, Wael Leheta, Ilan Levy Fernando Munarriz, Nayib Neme Design Advisor Prof. Thomas Cullinane Sponsor Center of Health Organization Transformation, James

More information

Appointment Scheduling: Evaluating the Robustness of Models

Appointment Scheduling: Evaluating the Robustness of Models Appointment Scheduling: Evaluating the Robustness of Models Institute for Operations Research and Management Science Annual Meeting Austin, TX November 9, 2010 Linda R. LaGanga, Ph.D. Director of Quality

More information

County of San Bernardino Department of Behavioral Health

County of San Bernardino Department of Behavioral Health Scheduling Application Policy Effective Date Approval Date 10/15/08 10/15/08 Policy It is the policy of Department of Behavioral H Ith (DBH) for all DBH outpatient sites that regularly schedule client

More information

Unlocking the capacity to care

Unlocking the capacity to care Unlocking the capacity to care About The Productive Hospital The Productive Hospital is a structured approach for organising your demand management and capacity planning at a high level. The program was

More information

Improving Outpatient Waiting Time Using Simulation Approach

Improving Outpatient Waiting Time Using Simulation Approach 2014 UKSim-AMSS 8th European Modelling Symposium Improving Outpatient Waiting Time Using Simulation Approach Arwa Jamjoom 1, Manal Abdullah 2, Maysoon Abulkhair 3, Thoria Alghamdi 4, Aisha Mogbil 5 1,2,3,4,5

More information

SIMULATION STUDY OF THE OPTIMAL APPOINTMENT NUMBER FOR OUTPATIENT CLINICS

SIMULATION STUDY OF THE OPTIMAL APPOINTMENT NUMBER FOR OUTPATIENT CLINICS ISSN 1726-4529 Int j simul model 8 (29) 3, 156-165 Professional paper SIMULATION STUDY OF THE OPTIMAL APPOINTMENT NUMBER FOR OUTPATIENT CLINICS Zhu, Z. C.; Heng, B. H. & Teow, K. L. Department of Health

More information

Revenue management based hospital appointment scheduling

Revenue management based hospital appointment scheduling ISSN 1 746-7233, England, UK World Journal of Modelling and Simulation Vol. 11 (2015 No. 3, pp. 199-207 Revenue management based hospital appointment scheduling Xiaoyang Zhou, Canhui Zhao International

More information

Universally Accepted Lean Six Sigma Body of Knowledge for Green Belts

Universally Accepted Lean Six Sigma Body of Knowledge for Green Belts Universally Accepted Lean Six Sigma Body of Knowledge for Green Belts The IASSC Certified Green Belt Exam was developed and constructed based on the topics within the body of knowledge listed here. Questions

More information

AM Technologies, Inc. WHY TYPE Medical Solution. Measurement Report. Harvard Vanguard Medical Associates

AM Technologies, Inc. WHY TYPE Medical Solution. Measurement Report. Harvard Vanguard Medical Associates AM Technologies, Inc. WHY TYPE Medical Solution Measurement Report Harvard Vanguard Medical Associates Through February 28, 2011 Abstract/Summary The following report shows outcomes from the surveys completed

More information

Testing the assumptions of outpatient healthcare appointment scheduling

Testing the assumptions of outpatient healthcare appointment scheduling Testing the assumptions of outpatient healthcare appointment scheduling Linda R. LaGanga Mental Health of Denver Stephen R. Lawrence (Stephen.Lawrence@colorado.edu) University of Colorado at Boulder (Corresponding

More information

Practice Management Solutions. Empowering Podiatric Practices

Practice Management Solutions. Empowering Podiatric Practices Practice Management Solutions Empowering Podiatric Practices 1 Where do Practices Lose Money? 25%-35% revenue loss due to improper patient handling at the front office (missed phone calls, patient no-shows,

More information

Scheduling Appointments in a Multi-Day Scheduling Horizon. given Individual Show Probabilities

Scheduling Appointments in a Multi-Day Scheduling Horizon. given Individual Show Probabilities Scheduling Appointments in a Multi-Day Scheduling Horizon given Individual Show Probabilities Michele Samorani Leeds School of Business, University of Colorado at Boulder, Boulder, Colorado 80309 {michael.samorani@colorado.edu}

More information

What is Modeling and Simulation and Software Engineering?

What is Modeling and Simulation and Software Engineering? What is Modeling and Simulation and Software Engineering? V. Sundararajan Scientific and Engineering Computing Group Centre for Development of Advanced Computing Pune 411 007 vsundar@cdac.in Definitions

More information

Learning Objectives Lean Six Sigma Black Belt Course

Learning Objectives Lean Six Sigma Black Belt Course Learning Objectives Lean Six Sigma Black Belt Course The overarching learning objective of this course is to develop a comprehensive set of skills that will allow you to function effectively as a Six Sigma

More information

Billing for Performance: Determining Billing Methods that Encourage Performance in Community Transportation

Billing for Performance: Determining Billing Methods that Encourage Performance in Community Transportation Monast and Downs 1 Billing for Performance: Determining Billing Methods that Encourage Performance in Community Transportation Kai Monast Institute for Transportation Research and Education North Carolina

More information

Overview Classes. 12-3 Logistic regression (5) 19-3 Building and applying logistic regression (6) 26-3 Generalizations of logistic regression (7)

Overview Classes. 12-3 Logistic regression (5) 19-3 Building and applying logistic regression (6) 26-3 Generalizations of logistic regression (7) Overview Classes 12-3 Logistic regression (5) 19-3 Building and applying logistic regression (6) 26-3 Generalizations of logistic regression (7) 2-4 Loglinear models (8) 5-4 15-17 hrs; 5B02 Building and

More information

Business Analytics using Data Mining Project Report. Optimizing Operation Room Utilization by Predicting Surgery Duration

Business Analytics using Data Mining Project Report. Optimizing Operation Room Utilization by Predicting Surgery Duration Business Analytics using Data Mining Project Report Optimizing Operation Room Utilization by Predicting Surgery Duration Project Team 4 102034606 WU, CHOU-CHUN 103078508 CHEN, LI-CHAN 102077503 LI, DAI-SIN

More information

Lean Six Sigma Black Belt-EngineRoom

Lean Six Sigma Black Belt-EngineRoom Lean Six Sigma Black Belt-EngineRoom Course Content and Outline Total Estimated Hours: 140.65 *Course includes choice of software: EngineRoom (included for free), Minitab (must purchase separately) or

More information

What Every Medical Practice Must Do to Optimize Workflow and Maximize Revenue While Decreasing Costs

What Every Medical Practice Must Do to Optimize Workflow and Maximize Revenue While Decreasing Costs What Every Medical Practice Must Do to Optimize Workflow and Maximize Revenue While Decreasing Costs Don t just trust that your staff is maximizing time and revenue. It is up to you to monitor, analyze

More information

Analysis of New Patient Access to Appointments in the Adult and Child Ambulatory Psychiatry Clinics. Project Final Report.

Analysis of New Patient Access to Appointments in the Adult and Child Ambulatory Psychiatry Clinics. Project Final Report. Analysis of New Patient Access to Appointments in the Adult and Child Ambulatory Psychiatry Clinics Project Final Report Project 1 To: Ms. Annemarie Lucas, Director of Operations Rachel Upjohn Building,

More information

Prediction of Stock Performance Using Analytical Techniques

Prediction of Stock Performance Using Analytical Techniques 136 JOURNAL OF EMERGING TECHNOLOGIES IN WEB INTELLIGENCE, VOL. 5, NO. 2, MAY 2013 Prediction of Stock Performance Using Analytical Techniques Carol Hargreaves Institute of Systems Science National University

More information

Course Overview Lean Six Sigma Green Belt

Course Overview Lean Six Sigma Green Belt Course Overview Lean Six Sigma Green Belt Summary and Objectives This Six Sigma Green Belt course is comprised of 11 separate sessions. Each session is a collection of related lessons and includes an interactive

More information

Lean Six Sigma Analyze Phase Introduction. TECH 50800 QUALITY and PRODUCTIVITY in INDUSTRY and TECHNOLOGY

Lean Six Sigma Analyze Phase Introduction. TECH 50800 QUALITY and PRODUCTIVITY in INDUSTRY and TECHNOLOGY TECH 50800 QUALITY and PRODUCTIVITY in INDUSTRY and TECHNOLOGY Before we begin: Turn on the sound on your computer. There is audio to accompany this presentation. Audio will accompany most of the online

More information

Introducing Oracle Crystal Ball Predictor: a new approach to forecasting in MS Excel Environment

Introducing Oracle Crystal Ball Predictor: a new approach to forecasting in MS Excel Environment Introducing Oracle Crystal Ball Predictor: a new approach to forecasting in MS Excel Environment Samik Raychaudhuri, Ph. D. Principal Member of Technical Staff ISF 2010 Oracle Crystal

More information

Lean Process Improvement in Outpatient Clinics

Lean Process Improvement in Outpatient Clinics Lean Process Improvement in Outpatient Clinics Decision Sciences Institute Annual Meeting New Orleans, Louisiana November 15, 2009 Linda LaGanga, Ph.D. Director of Quality Systems & Operational Excellence

More information

Modeling and Optimization of an Industrial Inventory Management System

Modeling and Optimization of an Industrial Inventory Management System Modeling and Optimization of an Industrial Inventory Management System Design Team Katia Lisboa, Jaime Bonifasi, Cristina Cromeyer, Frederick Stewart Design Advisor Prof. Abe Zeid Sponsor Barry Controls

More information

Design of Experiments for Analytical Method Development and Validation

Design of Experiments for Analytical Method Development and Validation Design of Experiments for Analytical Method Development and Validation Thomas A. Little Ph.D. 2/12/2014 President Thomas A. Little Consulting 12401 N Wildflower Lane Highland, UT 84003 1-925-285-1847 drlittle@dr-tom.com

More information

Medical Procedures Unit Scheduling and Anesthesia Process Flow University of Michigan Program & Operations Analysis Final Project Report

Medical Procedures Unit Scheduling and Anesthesia Process Flow University of Michigan Program & Operations Analysis Final Project Report Medical Procedures Unit Scheduling and Anesthesia Process Flow University of Michigan Program & Operations Analysis Final Project Report Report Prepared For: Fran Schultz, RN Nurse Manager of MPU Larry

More information

ViryaNet Service Scheduler

ViryaNet Service Scheduler ViryaNet Service Scheduler As customers demand better service within tighter deadlines, it is imperative for organizations to improve the efficiency of their field service operations. ViryaNet Service

More information

Copyright 2013 BBL Systems, Inc.

Copyright 2013 BBL Systems, Inc. Overview BBL System s optional WinAppointment Tracking software module is designed to help manage a business s employees/resources, customer appointments, employee/resource scheduling and provide analysis

More information

Implementation of an Open Access Scheduling System in a Residency Training Program

Implementation of an Open Access Scheduling System in a Residency Training Program 666 October 2003 Family Medicine Practice Managemen t Implementation of an Open Access Scheduling System in a Residency Training Program James G. Kennedy, MD, MBA; Julian T. Hsu, MD Background and Objectives:

More information

The Impact of No-Show Prediction Quality. on Optimal Appointment Schedules

The Impact of No-Show Prediction Quality. on Optimal Appointment Schedules The Impact of No-Show Prediction Quality on Optimal Appointment Schedules One of the challenges in appointment scheduling at outpatient clinics is dealing with patient no-shows. Recent approaches model

More information

The Predictive Data Mining Revolution in Scorecards:

The Predictive Data Mining Revolution in Scorecards: January 13, 2013 StatSoft White Paper The Predictive Data Mining Revolution in Scorecards: Accurate Risk Scoring via Ensemble Models Summary Predictive modeling methods, based on machine learning algorithms

More information

Reliability Modeling Software Defined

Reliability Modeling Software Defined Reliability Modeling Software Defined Using Titan Reliability Modeling Software May 30, 2014 Prepared by: The Fidelis Group 122 West Way, Suite 300 Lake Jackson, TX 77566 Fidelis Group, LLC All Rights

More information

AN ILLUSTRATION OF COMPARATIVE QUANTITATIVE RESULTS USING ALTERNATIVE ANALYTICAL TECHNIQUES

AN ILLUSTRATION OF COMPARATIVE QUANTITATIVE RESULTS USING ALTERNATIVE ANALYTICAL TECHNIQUES CHAPTER 8. AN ILLUSTRATION OF COMPARATIVE QUANTITATIVE RESULTS USING ALTERNATIVE ANALYTICAL TECHNIQUES Based on TCRP B-11 Field Test Results CTA CHICAGO, ILLINOIS RED LINE SERVICE: 8A. CTA Red Line - Computation

More information

Auxiliary Variables in Mixture Modeling: 3-Step Approaches Using Mplus

Auxiliary Variables in Mixture Modeling: 3-Step Approaches Using Mplus Auxiliary Variables in Mixture Modeling: 3-Step Approaches Using Mplus Tihomir Asparouhov and Bengt Muthén Mplus Web Notes: No. 15 Version 8, August 5, 2014 1 Abstract This paper discusses alternatives

More information

INCREASING THE DAILY THROUGHPUT OF ECHOCARDIOGRAM PATIENTS USING DISCRETE EVENT SIMULATION

INCREASING THE DAILY THROUGHPUT OF ECHOCARDIOGRAM PATIENTS USING DISCRETE EVENT SIMULATION INCREASING THE DAILY THROUGHPUT OF ECHOCARDIOGRAM PATIENTS USING DISCRETE EVENT SIMULATION by Ronak Gandhi A thesis submitted in conformity with the requirements for the degree of Master of Health Science

More information

Making Healthcare Easier: Benefits of an Integrated Electronic Medical Record and Practice Management System

Making Healthcare Easier: Benefits of an Integrated Electronic Medical Record and Practice Management System Making Healthcare Easier: Benefits of an Integrated Electronic Medical Record and Practice Management System An integrated practice management and electronic medical records system refers to applications

More information

How Constraint Management fits the Operations Management Philosophy

How Constraint Management fits the Operations Management Philosophy Constraint Management Chapter 7 How Constraint Management fits the Operations Management Philosophy Operations As a Competitive Weapon Operations Strategy Project Management Process Strategy Process Analysis

More information

Guidian Healthcare Consulting

Guidian Healthcare Consulting FRONT OFFICE E FFICE EFFICIENCY MAXIMIZING PRACTICE REVENUE STARTING AT THE FRONT D RONT DESK Guidian Healthcare Consulting Guidian Healthcare Consulting Guidian works with Community Health Centers to

More information

Credit Risk Analysis Using Logistic Regression Modeling

Credit Risk Analysis Using Logistic Regression Modeling Credit Risk Analysis Using Logistic Regression Modeling Introduction A loan officer at a bank wants to be able to identify characteristics that are indicative of people who are likely to default on loans,

More information

Implementing Point and Figure RS Signals

Implementing Point and Figure RS Signals Dorsey Wright Money Management 790 E. Colorado Blvd, Suite 808 Pasadena, CA 91101 626-535-0630 John Lewis, CMT August, 2014 Implementing Point and Figure RS Signals Relative Strength, also known as Momentum,

More information

Outpatient Appointment Scheduling given. Individual Day-Dependent No-Show Predictions

Outpatient Appointment Scheduling given. Individual Day-Dependent No-Show Predictions Outpatient Appointment Scheduling given Individual Day-Dependent No-Show Predictions Michele Samorani * Alberta School of Business, University of Alberta, Edmonton, AB, T6G 2R6, Canada. Ph.: +1(780)-492-3408

More information

Software Test Plan (STP) Template

Software Test Plan (STP) Template (STP) Template Items that are intended to stay in as part of your document are in bold; explanatory comments are in italic text. Plain text is used where you might insert wording about your project. This

More information

Scheduling Patients Appointments: Allocation of Healthcare Service Using Simulation Optimization

Scheduling Patients Appointments: Allocation of Healthcare Service Using Simulation Optimization Journal of Healthcare Engineering Vol. 6 No. 2 2015 Page 259 280 259 Scheduling Patients Appointments: Allocation of Healthcare Service Using Simulation Optimization Ping-Shun Chen 1*, Rex Aurelius C.

More information

Ways To Do. Mobile Appointment Booking Right. Mon, Oct 7. Tue, Oct 8. Morning 2 Available. Morning 2 Available. Afternoon 2 Available

Ways To Do. Mobile Appointment Booking Right. Mon, Oct 7. Tue, Oct 8. Morning 2 Available. Morning 2 Available. Afternoon 2 Available 8 Ways To Do Mobile Appointment Booking Right Mon, Oct 7 Morning 2 Available Afternoon 2 Available Tue, Oct 8 Morning 2 Available Afternoon 2 Available Evening Evening Back Next One Of the Best-Kept Secrets

More information

APPOINTMENT SCHEDULING: KEY TO CLINICIAN PRODUCTITY & CLIENT ACCESS

APPOINTMENT SCHEDULING: KEY TO CLINICIAN PRODUCTITY & CLIENT ACCESS APPOINTMENT SCHEDULING: KEY TO CLINICIAN PRODUCTITY & CLIENT ACCESS HRSA Disclaimer Community Health Partners for Sustainability, a program of the National Nursing Centers Consortium, is supported by the

More information

Revisited. Recalls, Most eye clinics rely on recalls to ensure patients return for needed care. They. The Financial Impact

Revisited. Recalls, Most eye clinics rely on recalls to ensure patients return for needed care. They. The Financial Impact Recalls, Revisited Brett Gerlach, MBA, Trent Muhlestein Most eye clinics rely on recalls to ensure patients return for needed care. They assume recalls are a reliable means of bringing patients back to

More information

Competitive Analysis of QoS Networks

Competitive Analysis of QoS Networks Competitive Analysis of QoS Networks What is QoS? The art of performance analysis What is competitive analysis? Example: Scheduling with deadlines Example: Smoothing real-time streams Example: Overflow

More information

Can We Beat DDoS Attacks in Clouds?

Can We Beat DDoS Attacks in Clouds? GITG342 Can We Beat DDoS Attacks in Clouds? Shui Yu, Yonghong Tian, Song Guo, Dapeng Oliver Wu IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 25, NO. 9, SEPTEMBER 2014 정보통신대학원 49기 정보보호 전공

More information

Department of Medicine Scheduling Guidelines

Department of Medicine Scheduling Guidelines Department of Medicine Scheduling Guidelines Version 2.0 Created: January 15, 2009 Approved by: Edward Abraham M.D. Nancy Dunlap, M.D., Ph.D, MBA 1 Appointment Availability Emergent Care same day if indicated,

More information

Medical Billing Assistant What makes our practice management system so good?

Medical Billing Assistant What makes our practice management system so good? Medical Billing Assistant What makes our practice management system so good? Evaluating new software is important to the overall success of any practice. The software must fulfill all the unique requirements

More information

Operations Management OPM-301-TE

Operations Management OPM-301-TE Operations Management OPM-301-TE This TECEP focuses on the process of transforming inputs through a value-added process to produce goods and services. Topics covered include value chains, performance measurement,

More information

Haksun Li haksun.li@numericalmethod.com www.numericalmethod.com MY EXPERIENCE WITH ALGORITHMIC TRADING

Haksun Li haksun.li@numericalmethod.com www.numericalmethod.com MY EXPERIENCE WITH ALGORITHMIC TRADING Haksun Li haksun.li@numericalmethod.com www.numericalmethod.com MY EXPERIENCE WITH ALGORITHMIC TRADING SPEAKER PROFILE Haksun Li, Numerical Method Inc. Quantitative Trader Quantitative Analyst PhD, Computer

More information

Unit 1: Introduction to Quality Management

Unit 1: Introduction to Quality Management Unit 1: Introduction to Quality Management Definition & Dimensions of Quality Quality Control vs Quality Assurance Small-Q vs Big-Q & Evolution of Quality Movement Total Quality Management (TQM) & its

More information

Optimization of an Operating Room Surgical Schedule. Anastasia Romanyuk & Alexandra Silva

Optimization of an Operating Room Surgical Schedule. Anastasia Romanyuk & Alexandra Silva Optimization of an Operating Room Surgical Schedule Anastasia Romanyuk & Alexandra Silva Washington University in St. Louis Department of Electrical & Systems Engineering April 27, 2012 Abstract: Operating

More information

7. Service Systems [3] -- Demand/Capacity Management Models

7. Service Systems [3] -- Demand/Capacity Management Models 1 of 35 7. Service Systems [3] -- Demand/Capacity Management Models INFO 210-19 September 2007 Bob Glushko 2 of 35 Plan for Today's Lecture Capacity Management Scheduling Influencing and Managing Demand

More information

Outsourcing Life Cycle: Integrating DMAIC Controls. WCQI Concurrent Session: M09 Monday May 21, 1:30 2:30 PM Presenter: Daniel Zrymiak

Outsourcing Life Cycle: Integrating DMAIC Controls. WCQI Concurrent Session: M09 Monday May 21, 1:30 2:30 PM Presenter: Daniel Zrymiak Outsourcing Life Cycle: Integrating DMAIC Controls WCQI Concurrent Session: M09 Monday May 21, 1:30 2:30 PM Presenter: Daniel Zrymiak Introduction This presentation combines knowledge of an Outsourcing

More information

Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds.

Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. OUTPATIENTS APPOINTMENT SCHEDULING WITH MULTI-DOCTOR SHARING RESOURCES Nara

More information

Dell Client Energy Savings Calculator. General description of energy consumption in computer systems:

Dell Client Energy Savings Calculator. General description of energy consumption in computer systems: Dell Client Energy Savings Calculator Purpose: The Dell Client Energy Savings Calculator is intended to provide a tool that will allow customers to estimate the energy consumed by a computer over a year

More information

Michigan Department of Treasury Tax Compliance Bureau Audit Division. Audit Sampling Manual

Michigan Department of Treasury Tax Compliance Bureau Audit Division. Audit Sampling Manual Audit Division Audit Sampling Manual Disclosure This manual is not intended as a statement of law, Department policy, or of the Treasurer s official position. The information contained in this manual has

More information

A REVENUE MANAGEMENT FRAMEWORK FOR APPOINTMENT ALLOCATION IN REHABILITATION OUTPATIENT CLINICS. A Thesis by. Raghunandan Yedehalli Venkataramu

A REVENUE MANAGEMENT FRAMEWORK FOR APPOINTMENT ALLOCATION IN REHABILITATION OUTPATIENT CLINICS. A Thesis by. Raghunandan Yedehalli Venkataramu A REVENUE MANAGEMENT FRAMEWORK FOR APPOINTMENT ALLOCATION IN REHABILITATION OUTPATIENT CLINICS A Thesis by Raghunandan Yedehalli Venkataramu B. E., Bangalore University, 2001 Submitted to the College of

More information

AGGREGATE & CAPACITY PLANNING

AGGREGATE & CAPACITY PLANNING 7 Ir. Haery Sihombing/IP Pensyarah Fakulti Kejuruteraan Pembuatan Universiti Teknologi Malaysia Melaka AGGREGATE & CAPACITY PLANNING Aggregate Planning Determine the resource capacity needed to meet demand

More information

Service courses for graduate students in degree programs other than the MS or PhD programs in Biostatistics.

Service courses for graduate students in degree programs other than the MS or PhD programs in Biostatistics. Course Catalog In order to be assured that all prerequisites are met, students must acquire a permission number from the education coordinator prior to enrolling in any Biostatistics course. Courses are

More information

Project Management. Introduction. Prof. Dr. Joachim Hering Faculty of Computer Science. Joachim Hering, Hochschule Ulm

Project Management. Introduction. Prof. Dr. Joachim Hering Faculty of Computer Science. Joachim Hering, Hochschule Ulm Project Management Introduction Prof. Dr. Joachim Hering Faculty of Computer Science Joachim Hering, Hochschule Ulm 1 Goals Goal(s) of this lecture: Brief introduction to project management A few basics

More information

Master the Metrics that Matter. A dentist s guide to managing key performance indicators (KPIs) for greater productivity and efficiency.

Master the Metrics that Matter. A dentist s guide to managing key performance indicators (KPIs) for greater productivity and efficiency. Master the Metrics that Matter A dentist s guide to managing key performance indicators (KPIs) for greater productivity and efficiency. About the Author Tammy McHood is a senior product manager for Henry

More information

Five Essential Components for Highly Reliable Data Centers

Five Essential Components for Highly Reliable Data Centers GE Intelligent Platforms Five Essential Components for Highly Reliable Data Centers Ensuring continuous operations with an integrated, holistic technology strategy that provides high availability, increased

More information

Job Family Modeling. Tools to Support Job Evaluation and Career Development October 21, 2009. Vincent Milich

Job Family Modeling. Tools to Support Job Evaluation and Career Development October 21, 2009. Vincent Milich Job Family Modeling Tools to Support Job Evaluation and Career Development October 21, 2009 Vincent Milich Agenda What is job family modeling? What can job family modeling do for an organization? Unique

More information

Changing Systems Curriculum

Changing Systems Curriculum Step 1: Statement of Aim The Statement of Aim specifically indicates the goal of the quality improvement initiative. What is the specific Aim of the improvement project? What specifically is trying to

More information

Aachen Summer Simulation Seminar 2014

Aachen Summer Simulation Seminar 2014 Aachen Summer Simulation Seminar 2014 Lecture 07 Input Modelling + Experimentation + Output Analysis Peer-Olaf Siebers pos@cs.nott.ac.uk Motivation 1. Input modelling Improve the understanding about how

More information

Using Simulation to Understand and Optimize a Lean Service Process

Using Simulation to Understand and Optimize a Lean Service Process Using Simulation to Understand and Optimize a Lean Service Process Kumar Venkat Surya Technologies, Inc. 4888 NW Bethany Blvd., Suite K5, #191 Portland, OR 97229 kvenkat@suryatech.com Wayne W. Wakeland

More information

Discrete-Event Simulation

Discrete-Event Simulation Discrete-Event Simulation Prateek Sharma Abstract: Simulation can be regarded as the emulation of the behavior of a real-world system over an interval of time. The process of simulation relies upon the

More information

Great-West SecureFoundation Smart Future

Great-West SecureFoundation Smart Future Great-West SecureFoundation Smart Future SM A smarter combination. A more secure future. Great-West SecureFoundation SM Smart Future brings you a combination of growth potential and income protection at

More information

Statistics in Applications III. Distribution Theory and Inference

Statistics in Applications III. Distribution Theory and Inference 2.2 Master of Science Degrees The Department of Statistics at FSU offers three different options for an MS degree. 1. The applied statistics degree is for a student preparing for a career as an applied

More information

A COMPARISON OF LOAD SHARING AND JOB SCHEDULING IN A NETWORK OF WORKSTATIONS

A COMPARISON OF LOAD SHARING AND JOB SCHEDULING IN A NETWORK OF WORKSTATIONS A COMPARISON OF LOAD SHARING AND JOB SCHEDULING IN A NETWORK OF WORKSTATIONS HELEN D. KARATZA Department of Informatics Aristotle University of Thessaloniki 546 Thessaloniki, GREECE Email: karatza@csd.auth.gr

More information

OUTPATIENT SATISFACTION SURVEY RESULTS

OUTPATIENT SATISFACTION SURVEY RESULTS OUTPATIENT SATISFACTION SURVEY RESULTS V.R. HARI BALAJI I SRU - COLLEGE OF MANAGEMENT I APRIL 2011 OUTPATIENT SATISFACTION SURVEY RESULTS - APRIL 2011 Total number of outpatients: 10 Response rate: 100%

More information

THE HR GUIDE TO IDENTIFYING HIGH-POTENTIALS

THE HR GUIDE TO IDENTIFYING HIGH-POTENTIALS THE HR GUIDE TO IDENTIFYING HIGH-POTENTIALS What makes a high-potential? Quite possibly not what you think. The HR Guide to Identifying High-Potentials 1 Chapter 1 - Introduction If you agree people are

More information

Easily Identify Your Best Customers

Easily Identify Your Best Customers IBM SPSS Statistics Easily Identify Your Best Customers Use IBM SPSS predictive analytics software to gain insight from your customer database Contents: 1 Introduction 2 Exploring customer data Where do

More information

Online Clinic Appointment Scheduling

Online Clinic Appointment Scheduling Lehigh University Lehigh Preserve Theses and Dissertations 2013 Online Clinic Appointment Scheduling Xin Dai Lehigh University Follow this and additional works at: http://preserve.lehigh.edu/etd Part of

More information

T i. An Integrated Workbench For Optimizing Business Processes MODELING SIMULATION ANALYSIS OPTIMIZATION

T i. An Integrated Workbench For Optimizing Business Processes MODELING SIMULATION ANALYSIS OPTIMIZATION O P T i M An Integrated Workbench For Optimizing Business Processes MODELING SIMULATION ANALYSIS OPTIMIZATION O P T i M MODEL SIMULATE ANALYZE OPTIMIZE Integrated process modeler with import/export functionality

More information

CUTTING INFORMATION TECHNOLOGY COSTS WITH PPM:

CUTTING INFORMATION TECHNOLOGY COSTS WITH PPM: CUTTING INFORMATION TECHNOLOGY COSTS WITH PPM: HOW PROJECT PORTFOLIO MANAGEMENT CAN REDUCE IT EXPENSES BY 30% THOUGHT LEADERSHIP WHITE PAPER Introduction IT organizations worldwide are being hit by a perfect

More information

4 Steps to Understanding ROI for GPS Vehicle Tracking. A guide to quickly decreasing costs and improving efficiency.

4 Steps to Understanding ROI for GPS Vehicle Tracking. A guide to quickly decreasing costs and improving efficiency. 4 Steps to Understanding ROI for GPS Vehicle Tracking A guide to quickly decreasing costs and improving efficiency. SageQuest 4 Steps to Understanding ROI for GPS Vehicle Tracking Table of Contents Introduction...p

More information

2014-2015 The Master s Degree with Thesis Course Descriptions in Industrial Engineering

2014-2015 The Master s Degree with Thesis Course Descriptions in Industrial Engineering 2014-2015 The Master s Degree with Thesis Course Descriptions in Industrial Engineering Compulsory Courses IENG540 Optimization Models and Algorithms In the course important deterministic optimization

More information

Optimization of Natural Gas Processing Plants Including Business Aspects

Optimization of Natural Gas Processing Plants Including Business Aspects Page 1 of 12 Optimization of Natural Gas Processing Plants Including Business Aspects KEITH A. BULLIN, Bryan Research & Engineering, Inc., Bryan, Texas KENNETH R. HALL, Texas A&M University, College Station,

More information

Proceedings of the 2014 Winter Simulation Conference A. Tolk, S. Y. Diallo, I. O. Ryzhov, L. Yilmaz, S. Buckley, and J. A.

Proceedings of the 2014 Winter Simulation Conference A. Tolk, S. Y. Diallo, I. O. Ryzhov, L. Yilmaz, S. Buckley, and J. A. Proceedings of the 2014 Winter Simulation Conference A. Tolk, S. Y. Diallo, I. O. Ryzhov, L. Yilmaz, S. Buckley, and J. A. Miller, eds A USER-FRIENDLY EXCEL SIMULATION FOR SCHEDULING IN PRIMARY CARE PRACTICES

More information

DENTAL CLINIC EFFICIENCY AND EFFECTIVENESS MANUAL

DENTAL CLINIC EFFICIENCY AND EFFECTIVENESS MANUAL DENTAL CLINIC EFFICIENCY AND EFFECTIVENESS MANUAL April 2007 Chapter 8-1 Chapter 8, IHS Dental Clinic Efficiency Table of Contents A. Introduction, Background, and Purpose B. Patient Flow and Control of

More information

Blue: C= 77 M= 24 Y=19 K=0 Font: Avenir. Clockwork LCM Cloud. Technology Whitepaper

Blue: C= 77 M= 24 Y=19 K=0 Font: Avenir. Clockwork LCM Cloud. Technology Whitepaper Technology Whitepaper Clockwork Solutions, LLC. 1 (800) 994-1336 A Teakwood Capital Company Copyright 2013 TABLE OF CONTENTS Clockwork Solutions Bringing Cloud Technology to the World Clockwork Cloud Computing

More information

Behavioral Segmentation

Behavioral Segmentation Behavioral Segmentation TM Contents 1. The Importance of Segmentation in Contemporary Marketing... 2 2. Traditional Methods of Segmentation and their Limitations... 2 2.1 Lack of Homogeneity... 3 2.2 Determining

More information

Project Time Management

Project Time Management Project Time Management Plan Schedule Management is the process of establishing the policies, procedures, and documentation for planning, developing, managing, executing, and controlling the project schedule.

More information

Agile ETRM from Allegro

Agile ETRM from Allegro Agile ETRM from Allegro Allegro energy trading and risk management software delivers the fastest realization of business objectives and greatest flexibility with minimal risk and disruption to our customers

More information

High-Mix Low-Volume Flow Shop Manufacturing System Scheduling

High-Mix Low-Volume Flow Shop Manufacturing System Scheduling Proceedings of the 14th IAC Symposium on Information Control Problems in Manufacturing, May 23-25, 2012 High-Mix Low-Volume low Shop Manufacturing System Scheduling Juraj Svancara, Zdenka Kralova Institute

More information

Procurement & Supply Chain Management

Procurement & Supply Chain Management New Skills. New Thinking Procurement & Supply Chain Management Supply Chain Effectiveness Audit - Implementing lean processes in your supply chain 20 September 2012 Auckland 24 September 2012 Wellington

More information

Monitoring Patient Cycle Time: Utilizing EMR Data To Assess Patient Flow and Provider Efficiency. East Arkansas Family Health Center (All 5 Sites)

Monitoring Patient Cycle Time: Utilizing EMR Data To Assess Patient Flow and Provider Efficiency. East Arkansas Family Health Center (All 5 Sites) Monitoring Patient Cycle Time: Utilizing EMR Data To Assess Patient Flow and Provider Efficiency East Arkansas Family Health Center (All 5 Sites) Introduction Tem Woldeyesus, MD Candidate 2016, UCSF School

More information

HSR HOCHSCHULE FÜR TECHNIK RA PPERSW I L

HSR HOCHSCHULE FÜR TECHNIK RA PPERSW I L 1 An Introduction into Modelling and Simulation Prof. Dr.-Ing. Andreas Rinkel af&e andreas.rinkel@hsr.ch Tel.: +41 (0) 55 2224928 Mobil: +41 (0) 79 3320562 Goal After the whole lecture you: will have an

More information

Transforming big data into supply chain analytics

Transforming big data into supply chain analytics Transforming big data into supply chain analytics ALAN MILLIKEN CFPIM CSCP CPF CSOP Introduction Analytics has been described as finding and using meaningful information in big data to improve business

More information

System Identification for Acoustic Comms.:

System Identification for Acoustic Comms.: System Identification for Acoustic Comms.: New Insights and Approaches for Tracking Sparse and Rapidly Fluctuating Channels Weichang Li and James Preisig Woods Hole Oceanographic Institution The demodulation

More information

PROJECT MANAGEMENT PLAN Outline VERSION 0.0 STATUS: OUTLINE DATE:

PROJECT MANAGEMENT PLAN Outline VERSION 0.0 STATUS: OUTLINE DATE: PROJECT MANAGEMENT PLAN Outline VERSION 0.0 STATUS: OUTLINE DATE: Project Name Project Management Plan Document Information Document Title Version Author Owner Project Management Plan Amendment History

More information

Maximizing Continuing Care in Your Dental Practice. How to fill hygiene chairs, build patient loyalty and increase hygiene production

Maximizing Continuing Care in Your Dental Practice. How to fill hygiene chairs, build patient loyalty and increase hygiene production Maximizing Continuing Care in Your Dental Practice How to fill hygiene chairs, build patient loyalty and increase hygiene production About the Author Wendy Briggs, RDH is the president and CEO of Hygiene

More information